Abstract
If we consider edge detection as a classification problem, then it seems reasonable that context should play an important role in its study. In fact, it is frequent that neighboring pixels exhibit a strong inter-dependence. In this paper we propose a recurrent neural network for edge detection, which uses a special architecture intended to incorporate contextual information during operation. Some experimental results are presented, showing its effectiveness.
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© 1997 Springer-Verlag Berlin Heidelberg
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Pinho, A.J., Almeida, L.B. (1997). Contextual edge detection using a recurrent neural network. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_130
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DOI: https://doi.org/10.1007/3-540-63508-4_130
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